Description: 应用Benders分解算法求解混合0-1规划。对于研究非线性规划的同学很有益。-Application Benders decomposition algorithm for mixed 0-1 programming. Very useful for the study of nonlinear programming students. Platform: |
Size: 1024 |
Author:zuoyongyang |
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Description: benders分解算法，求优化问题min cx+dy
s.t.Ax+By>b-benders decomposition algorithm for the optimization problem min cx+dy stAx+By> b Platform: |
Size: 1024 |
Author:姜伟 |
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Description: BENDERS分解算法，用来求解MIPS，即混合整数线性规划问题。我已经做了注释。-Benders decomposition of solving MIPS problem, which is mixed integer linear programming, I have done Notes Platform: |
Size: 1024 |
Author:林哲 |
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Description: 主要是针对matlab编程的14个案例；
案例1：一般区域二重、三重积分；
案例2：被积函数含有积分项的一类积分；
案例3：一般区域n重积分；
案例4：蒙特卡洛法计算n重积分；
案例5：第二类Fredholm积分方程；
案例6：第一类Fredholm积分方程；
案例7：第二类Volterra积分方程；
案例8：第一类Volterra积分方程；
案例9：全局优化；
案例10：fsolve求非线性方程组；
案例11：渐变光波求导；
案例12：遗传算法在复杂系统可靠度和冗余度分配优化；
案例13：遗传算法在车间设备布局优化；
案例14：应用Benders分解算法求解混合0-1规划；(Mainly for 14 cases of MATLAB programming;
Case 1: General Regional double and three integral;
Case 2: a class of integral functions containing integral terms;
Case 3: General Regional N multiple integrals;
Case 4: Monte Carlo method to calculate the N multiple integral;
Case 5: Fredholm integral equations of the second kind;
Case 6: Fredholm integral equations of the first kind;
Case 7: Volterra integral equations of the second kind;
Case 8: Volterra integral equations of the first kind;
Case 9: Global optimization;
Case 10:fsolve for nonlinear equations;
Case 11: gradual wave derivative;
Case 12: genetic algorithm for reliability and redundancy allocation optimization in complex systems;
Case 13: genetic algorithm in workshop equipment layout optimization;
Case 14: applying Benders decomposition algorithm to solve mixed 0-1 programming;) Platform: |
Size: 25600 |
Author:321mumu123
|
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Description: IEEE 30 BUS SYSTEM Comparisons between stochastic and deterministic Unit
Commitment solutions are provided. The generation of Unit
Commitment solution is guaranteed by DEEPSO, which is a
hybrid DE-EA-PSO algorithm, where DE stands for Differential
Evolution, EA for Evolutionary Algorithms and PSO for Particle
Swarm Optimization. For the calculation of the optimal economic
dispatch an algorithm based on the Benders Decomposition,
combining the Dual Dynamic Programming, was developed.
Results show that the stochastic approach leads to more ro Platform: |
Size: 133120 |
Author:therealneel7
|
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Description: Comparisons between stochastic and deterministic Unit
Commitment solutions are provided. The generation of Unit
Commitment solution is guaranteed by DEEPSO, which is a
hybrid DE-EA-PSO algorithm, where DE stands for Differential
Evolution, EA for Evolutionary Algorithms and PSO for Particle
Swarm Optimization. For the calculation of the optimal economic
dispatch an algorithm based on the Benders Decomposition,
combining the Dual Dynamic Programming, was developed.
Results show that the stochastic approach leads to more ro Platform: |
Size: 280576 |
Author:therealneel7
|
Hits:
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